Evidence map›Paper›PMID 29145615›Full record

ArticleNucleic acids research2018

iPTMnet: an integrated resource for protein post-translational modification network discovery.

Hongzhan Huang, Cecilia N Arighi, Karen E Ross, Jia Ren, Gang Li, Sheng-Chih Chen, Qinghua Wang, Julie Cowart, K Vijay-Shanker, Cathy H Wu

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

112 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. MAVISp: A modular structure-based framework for protein variant effects.Protein science : a publication of the Protein Society · 2026
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome.Journal of cardiovascular development and disease · 2026
    Review
  19. Review
  20. Article

52 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hongzhan HuangCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19711, USA.
Cecilia N ArighiCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19711, USA.
Karen E RossDepartment of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC 20057, USA.
Jia RenCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19711, USA.
Gang LiDepartment of Computer & Information Sciences, University of Delaware, Newark, DE 19711, USA.
Sheng-Chih ChenDepartment of Computer & Information Sciences, University of Delaware, Newark, DE 19711, USA.
Qinghua WangCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19711, USA.
Julie CowartCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19711, USA.
K Vijay-ShankerDepartment of Computer & Information Sciences, University of Delaware, Newark, DE 19711, USA.
Cathy H WuCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19711, USA.

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI MELINDA K DUNCAN · 2012 to 2026
$67.2M
PRO: A Protein Ontology in Open Biomedical OntologiesR01GM080646 · NIGMS · UNIVERSITY OF DELAWARE · PI WU, CATHY H. · 2007 to 2018
$8.9M
Semantic Literature Annotation and Integrative Panomics Analysis for PTM-Disease Knowledge Network DiscoveryU01GM120953 · NIGMS · UNIVERSITY OF DELAWARE · PI SHANKER, VIJAY K, WU, CATHY H. · 2016 to 2018
$1.1M
Biocreative Conference GrantR13GM109648 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI ARIGHI, CECILIA NOEMI, COHEN, KEVIN B. · 2014 to 2016
$36k
NIGMS NIH HHS P20 GM103446NIGMS NIH HHS R01 GM080646NIGMS NIH HHS R13 GM109648NIGMS NIH HHS U01 GM120953
6 · The paper itself

Abstract

Protein post-translational modifications (PTMs) play a pivotal role in numerous biological processes by modulating regulation of protein function. We have developed iPTMnet (http://proteininformationresource.org/iPTMnet) for PTM knowledge discovery, employing an integrative bioinformatics approach-combining text mining, data mining, and ontological representation to capture rich PTM information, including PTM enzyme-substrate-site relationships, PTM-specific protein-protein interactions (PPIs) and PTM conservation across species. iPTMnet encompasses data from (i) our PTM-focused text mining tools, RLIMS-P and eFIP, which extract phosphorylation information from full-scale mining of PubMed abstracts and full-length articles; (ii) a set of curated databases with experimentally observed PTMs; and iii) Protein Ontology that organizes proteins and PTM proteoforms, enabling their representation, annotation and comparison within and across species. Presently covering eight major PTM types (phosphorylation, ubiquitination, acetylation, methylation, glycosylation, S-nitrosylation, sumoylation and myristoylation), iPTMnet knowledgebase contains more than 654 500 unique PTM sites in over 62 100 proteins, along with more than 1200 PTM enzymes and over 24 300 PTM enzyme-substrate-site relations. The website supports online search, browsing, retrieval and visual analysis for scientific queries. Several examples, including functional interpretation of phosphoproteomic data, demonstrate iPTMnet as a gateway for visual exploration and systematic analysis of PTM networks and conservation, thereby enabling PTM discovery and hypothesis generation.

Indexed as

Databases, ProteinKnowledge BasesProtein Processing, Post-TranslationalAnimalsComputational BiologyData MiningEnzymesHumansInternetPhosphorylationProtein Interaction MapsSequence AlignmentEnzymes

Identifiers

PMID29145615
PMCPMC5753337

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.